Data Analyst

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: $100,000 - $140,000 + bonus + benefits

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

We’re seeking a Data Analyst to join our growing team and play a critical role in shaping our analytics strategy. In this role, you’ll work closely with our Growth Marketing team to drive data-informed decision-making across the organization. You’ll leverage a full suite of analytical tools to measure performance across online channels, enhance our modern martech infrastructure, and develop scalable frameworks and tooling. Your work will be instrumental in evaluating and optimizing marketing investments against core business metrics, including ROAS, LTV, and conversion rates.

IN THIS ROLE, YOU’LL:

• Be a trusted advisor on our marketing data. You will understand the intricacies of our ad platforms, MMP (we use Singular), and various third parties to produce a cohesive and actionable view. Including:
  • Build and improve analytics reporting and processes (we use Looker)
  • Work with stakeholders to scope analytical questions and determine appropriate KPIs/metrics
  • Determine optimal data visualization methods for decision making
  • Reduce technical debt, implement new parameters, and update LookML to align with best practices
  • Collaborate with Data Engineering/Analytics Engineering on data mart and model requirements
  • Identify automation and process improvement opportunities in BI
• Analyze marketing experiments
  • Includes ad hoc analysis of ad platform testing
• Partner with the Growth team to translate business needs into data problems and prioritize work
  • Complete ad hoc analysis including:
    • Performance of keyword cohorts to identify targeting opportunities
    • Building/analyzing composite success measures for marketing campaigns
    • Applying growth marketing knowledge to analyze ad fatigue in our customer base
• Monitor marketing trends to proactively identify worthwhile trends for media buyers

ABOUT YOU 🦄

• You have 2+ years of experience in technical marketing data roles.
• You have experience with modern marketing tech (e.g. MMPs, Social / Digital platforms, SKAN) and experience in the digital marketing space.
• You have 2+ years of experience with BI Tools (Looker preferred, Tableau, PowerBI, Sigma, Omni, Databricks).
• You have a strong SQL background. You are comfortable spinning up a quick analysis or proof of concept data model.
• You understand what is possible, and what the limitations are, of marketing measurement and attribution. You enjoy the challenge of balancing rigor with the realities of the business.
• You can break down problems into tasks for yourself and make adjustments to priorities as necessary.
• You’re comfortable with applying standard marketing measures such as: LTV/NPV, CAC, Cost per Action, Retention metrics, ROAS, CTR, CPM, etc.

Bonus points if:

• You have experience with our stack (BigQuery, Singular, Looker, dbt, Amplitude, DeepNote, git).
• You have experience with experiment design.
• You’re familiar with Agile process/Sprint cycles.
• You have prior experience as a media buyer or with an ad agency.
• You have experience in mobile analytics.
• You have a genuine interest in marketing attribution and technology, including keeping up-to-date with emerging trends in the marketplace.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an [Not Specified]